• According to Glean, its generative AI capabilities will work with various LLMs and be made available through extensions for Chrome-based browsers.
  • To identify internal experts in inquiry responses, Glean said it is also strengthening its engine’s understanding of how a company’s content, personnel, and activity link to one another.

Recently, generative artificial intelligence and other AI-based technologies were added to the core service of Glean Technologies Inc. This company creates a search engine that businesses can use to index their own content.

The business claims it uses generative machine learning models to comprehend and synthesize content to give more accurate answers to natural language queries that consider content, context, and permissions from across the organization. ChatGPT by OpenAI LP is a well-known example of generative AI.

In addition to enhancing its engine’s comprehension of how a company’s content, employees, and activity relate to one another, Glean claimed it is doing this to identify internal experts in query responses. With clickable recommendations for related or pertinent content from across the company that appears in a companion window, new in-context offers add supplementary content and context to information.

Enterprise GPT Difficulties

People have been motivated by ChatGPT to consider how the technology might be used for enterprise data. But, Glean’s Founder and Chief Executive, Arvind Jain, said, “The large language models in the marketplace aren’t sufficient to unlock the full value. It isn’t easy to train GPT-4 [the latest version of the generative pre-trained transformer model] on your knowledge base.”

Access control and reliability are two issues. Jain said, “Models can hallucinate. You need to ground them so they’re using the right knowledge and asking the right questions. Those are some of the core challenges.”

According to the company, generative AI must comprehend context, interpersonal relationships, a company’s internal language, privacy and security parameters, and content when used inside the firewall. Glean retrains deep learning language models using a company’s knowledge base to create an organizational taxonomy and comprehend the subtle nuances of human communication. It also shows which sources are used to produce results and considers governance guidelines and permissions.

When specific terms are not used, the software still uses semantic search principles to return results related to the query. According to Eddie Zhou, a founding engineer at Glean, a question about personally identifiable information might yield a result about log data. Zhou said, “It has read everything, knows what everyone does, and never forgets anything.”

Multiple LLMs will be supported, and Glean’s generative AI capabilities will be made available via extensions for Chrome-based browsers. However, desktop systems do not currently support the feature.